Andrew K. Skidmore

TL;DR: It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.

TL;DR: It is proposed that local spatial association is a way to identify the species occurrence records that require treatment for positional uncertainty and developed and presented a tool in the R environment to target observations that are likely to create error in the output from SDMs as a result of positional uncertainty.

TL;DR: In this paper, the authors present a new method for monitoring vegetation activity at high latitudes, using MODIS NDVI, which estimates the NDVI of the vegetation during winter and applies a double logistic function, which is uniquely defined by six parameters that describe the yearly NDVI time series.

TL;DR: In this paper, the potential of narrow band vegetation indices for characterizing the biomass of Cenchrus ciliaris grass measured at high canopy density was evaluated and three indices were tested: Modified Normalized Difference Vegetation Index (MNDVI), Simple Ratio (SR) and Transformed Vegetation index (TVI) involving all possible two band combinations between 350nm and 2500nm.

TL;DR: In this paper, the authors argue that the balance between trees and grasses is, to a large extent, determined by the indirect interactive effects of herbivory and fire, and that the interaction between fire and grass provides a mechanistic explanation for observed discontinuous changes in woody and grass biomass.